The 2024 EAERE Summer Schoolwill address the topic Data science in environmental economics research and will take place from 22 to 28 June 2024 in Castle Seggau, close to Graz, Styria, Austria.
Objectives
Today, the availability of data coming from numerous different sources and formats, e.g.; remote sensing data, geospatial data, very large and/or high frequency datasets, allows to empirically analyze problems in environmental economics in an unpreceded detail. In order to process and use this data, a large set of different tools need to be applied. The 2024 EAERE Summer School will focus on the intersection of environmental economics and data science, with a particular emphasis on the increasing use of data science and novel statistical methods in environmental economics research. This includes the use of machine learning, spatial statistics and data analysis, remote sensing, the use of "alternative data" and big data applications. The goal of the summer school is to address new developments in these fields, to highlight their potential applications in environmental economics, and to foster the implementation of novel empirical methods in environmental economics research.
Faculty and respective tentative focus
Paul A. Raschky(Scientific Coordinator)
Professor at the Department of Economics and current Director of SoDa Labs, Monash University
Yanos Zylberberg
Associate Professor at the Department of Economics at the University of Bristol
Ed Rubin
Assistant Professor at the Department of Economics at the University of Oregon
Joëlle Noailly
Associate Professor at the Department of Spatial Economics at the Vrije Universiteit Amsterdam /Senior Lecturer Geneva Graduate Institute
Ludovica Gazze
Associate Professor at the Department of Economics at the University of Warwick
School Organising Committee
Birgit Bednar-Friedl, Stefan Borsky, Michael Finus and Karl W. Steininger, together with Irene Hye are the local organisers.
Local Lead Organiser in 2024: Stefan Borsky
How to apply
The Summer School is targeted to doctoral and post-doctoral students. Admission is conditional on the presentation by each student of his/her doctoral work; therefore applicants normally need to be advanced in their PhD to have produced at least one substantive chapter, but are not requested to have completely finished their thesis.
EAERE membership is not required for applications, but it is encouraged. EAERE Membership is required for accepted applicants: participation is restricted to 2024 EAERE members.
In order to apply please fill in the following mandatory documentation as a a single .pdf file to: eaere-summer-school@uni-graz.at in this order:
First draft of the paper to be presented (no restrictions regarding length). Both full papers and extended abstracts will be accepted, with preference given to full papers .
The deadline for applications is March 14th, 2024.